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Authors: Hossam Faris 1 ; Ibrahim Aljarah 1 ; Maria Habib 1 and Pedro Castillo 2

Affiliations: 1 Department of Information Technology, King Abdullah II School for Information Technology, The University of Jordan, Amman, Jordan ; 2 Department of Computer Architecture and Technology, ETSIIT - CITIC, University of Granada, Spain

ISBN: 978-989-758-397-1

ISSN: 2184-4313

Keyword(s): Hate Speech, Classification, Word Embedding, Machine Learning.

Abstract: Hate speech over online social networks is a worldwide problem that leads for diminishing the cohesion of civil societies. The rapid spread of social media websites is accompanied with an increasing number of social media users which showed a higher rate of hate speech, as well. The objective of this paper is to propose a smart deep learning approach for the automatic detection of cyber hate speech. Particularly, the detection of hate speech on Twitter on the Arabic region. Hence, a dataset is collected from Twitter that captures the hate expressions in different topics at the Arabic region. A set of features extracted from the dataset based on a word embedding mechanism. The word embeddings fed into a deep learning framework. The implemented deep learning approach is a hybrid of convolutional neural network (CNN) and long short-term memory (LSTM) network. The proposed approach achieved good results in classifying tweets as Hate or Normal regarding accuracy, precision, recall, and F1 measure. (More)

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Paper citation in several formats:
Faris, H.; Aljarah, I.; Habib, M. and Castillo, P. (2020). Hate Speech Detection using Word Embedding and Deep Learning in the Arabic Language Context.In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-397-1, ISSN 2184-4313, pages 453-460. DOI: 10.5220/0008954004530460

@conference{icpram20,
author={Hossam Faris. and Ibrahim Aljarah. and Maria Habib. and Pedro A. Castillo.},
title={Hate Speech Detection using Word Embedding and Deep Learning in the Arabic Language Context},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2020},
pages={453-460},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008954004530460},
isbn={978-989-758-397-1},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Hate Speech Detection using Word Embedding and Deep Learning in the Arabic Language Context
SN - 978-989-758-397-1
AU - Faris, H.
AU - Aljarah, I.
AU - Habib, M.
AU - Castillo, P.
PY - 2020
SP - 453
EP - 460
DO - 10.5220/0008954004530460

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